This is an Amazon Web Services User Group dedicated to Latvia. Its main goal is to share knowledge and best practices between fans of AWS.
This group is dedicated to developers, devops and solution architects interested in AWS services and cloud computing in general. The group is planning to host technical sessions, workshops, demo and other types of events that would serve the purpose of its existence.
Machine learning is one of the hottest topics in the IT industry these days. As algorithms and tools are becoming more advanced, more companies choose to adopt Machine Learning for their business needs.
AWS introduced Amazon Sagemaker in 2017 to enable data scientists and developers to quickly and easily build, train, and deploy machine learning models at scale. Since then, AWS added more and more features to the product. Sometimes it might be tricky for a newcomer to understand the core components of Amazon Sagemaker and how to get started with this AWS service.
In this hands-on workshop, we will guide you on using Amazon Sagemaker core features. We will begin with preparing the dataset, then move to building and training the ML models and will finalize the workshop by deploying a model to an API endpoint.
Technical difficulty level: 100 (Beginner). You will need an AWS account (training accounts are available), a basic understanding of Python, or at least any other programming language.